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Application of Multi-Regression Analysis and Machine Learning Techniques in Stage-Discharge Relationship Modelling
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Non-linear variable selection for artificial neural networks using partial mutual information
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A neural network approach for prediction of discharge in straight compound open channel flow
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Stage-discharge prediction in natural rivers using an innovative approach
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High-performance approach for estimating stage-discharge curves in the open channels
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Multiple regression models: A methodology for evaluating trihalomethane concentrations in drinking water from raw water characteristics
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Stage-discharge prediction for rivers in flood applying a depth-averaged model
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USE OF ACOUSTIC DOPPLER CURRENT PROFILERS TO DESCRIBE VELOCITY DISTRIBUTIONS AT THE REACH SCALE1
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Boundary shear distribution in a compound channel with differential roughness
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ANFIS- and GEP-based model for prediction of scour depth around bridge pier in clear-water scouring and live-bed scouring conditions
inferredcites →https://doi.org/10.2495/cmem-v1-n1-80-92openalex-extracted
Stage–discharge prediction for meandering channels
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Development of rating curve for Ofu River at Oforachi Hydrometric Station
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